Table 4.
Likert scale responses of social media survey nonprovider subgroup.
| Survey question | Score (1-5), mean (SD) | |
| Q2. How much confidence do you have in medical professionals’ ability to make the correct decision for your medical care? | 3.66 (0.959) | |
| Q3. How would you rate your current understanding of MLa and AIb as they apply to health care? | 3.03 (1.233) | |
| Q4. How comfortable would you be with having a computer algorithm using ML/AI assisting in making decisions about your medical care? | 3.27 (1.013) | |
| Q5. How do you think the implementation of more ML/AI-based algorithms into the medical system will impact your medical care? | 3.40 (1.014) | |
| Q6. How do you think the implementation of more ML/AI-based algorithms into the medical system will impact your relationship with your medical team | 3.09 (0.931) | |
| Please rate the extent to which each of the following factors would increase your comfort level with an ML or AI-based tool being used in your medical care | ||
|
|
Q8a. High-quality evidence that it is as good or better than trained clinicians | 3.65 (1.127) |
|
|
Q8b. High-quality evidence that it can improve patient outcomes | 3.77 (1.214) |
|
|
Q8c. Knowing how the tool was developed | 3.62 (1.082) |
|
|
Q8d. Knowing that the tool would improve efficiency | 3.56 (1.141) |
aML: machine learning.
bAI: artificial intelligence.